Bartłomiej Baranowski


I am a PhD student at the Technical University of Munich, in the Visual Computing & Artificial Intelligence Group led by Prof. Matthias Nießner.

Interests: I am primarily interested in 3D computer vision and machine learning, with a focus on 3D reconstruction and scene understanding. My work spans autonomous vision, medical imaging, and deep learning for image and video analysis. I am passionate about developing methods that advance both fundamental understanding and practical applications in computer vision and machine learning.

Bio: I hold a master's degree in machine learning from the University of Tübingen, where I conducted research in the lab of Prof. Andreas Geiger. I completed my bachelor's degree in computer science at Lodz University of Technology. During my studies, I contributed to several research projects in computer vision, including work on autonomous systems and medical imaging. I see myself as an enthusiastic researcher and programmer. In my free time, I enjoy exploring new ideas, playing musical instruments, running, climbing, and staying active outdoors.

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Publications

Project image
ConeGS: Error-Guided Densification Using Pixel Cones for Improved Reconstruction with Fewer Primitives (Oral Presentation)
Bartłomiej Baranowski, Stefano Esposito, Patricia Gschoßmann, Anpei Chen, Andreas Geiger
2026 International Conference on 3D Vision (3DV), 2026
Project Page / Paper /
@InProceedings{baranowski2026conegs, 
	author = {Bartłomiej Baranowski and Stefano Esposito and Patricia Gschoßmann and Anpei Chen and Andreas Geiger}, 
	title = {ConeGS: Error-Guided Densification Using Pixel Cones for Improved Reconstruction with Fewer Primitives}, 
	booktitle = {2026 International Conference on 3D Vision (3DV)}, 
	year = {2026}, 
}

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